Person: Camacho Miñano, Juana María Del Mar
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First Name
Juana María Del Mar
Last Name
Camacho Miñano
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Ciencias Económicas y Empresariales
Department
Administración Financiera y Contabilidad
Area
Economía Financiera y Contabilidad
Identifiers
2 results
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Item Machine learning in corporate credit rating assessment using the expanded audit report(Machine Learning, 2022) Muñoz-Izquierdo, Nora; Pérez Pérez, Yolanda; Segovia Vargas, María Jesús; Camacho Miñano, Juana María Del MarWe investigate whether key audit matter (KAM) paragraphs disclosed in extended audit reports—paragraphs in which the auditor highlights significant risks and critical judgments of the company—contribute to assess corporate credit ratings. This assessment is a complicated and expensive process to grade the reliability of a company, and it is relevant for many stakeholders, such as issuers, investors, and creditors. Although credit rating evaluations have attracted the interest of many researchers, previous studies have mainly focused only on financial ratios. We are the first to use KAMs for credit rating modelling purposes. Applying four machine learning techniques to answer this real-world problem—C4.5 decision tree, two different rule induction classifiers (PART algorithm and Rough Set) and the logistic regression methodology—, our evidence suggests that by simply identifying the KAM topics disclosed in the report, any decision-maker can assess credit scores with 74% accuracy using the rules provided by the PART algorithm. These rules specifically indicate that KAMs on both external (such as going concern) and internal (such as company debt) aspects may contribute to explaining a company’s credit rating. The rule induction classifiers have similar predictive power. Interestingly, if we combine audit data with accounting ratios, the predictive power of our model increases to 84%, outperforming the accuracy in the existing literature.Item Risk on financial reporting in the context of the new audit report in Spain(Revista de Contabilidad-Spanish Accounting Review, 2021) Pérez Pérez, Yolanda; Segovia Vargas, María Jesús; Camacho Miñano, Juana María Del MarAfter the financial crisis and with the greater complexity of financial reporting, stakeholders asked firms for more informative audit reports to close the audit expectation gap. In this context, the International Auditing and Assurance Standards Board (IAASB) approved a new international standard on auditor’s reports. One of the major changes is the obligation for listed companies to describe the key audit matters (KAM) in the audit report, in particular, those related to the significant financial reporting risks. This paper empirically analyses the content of the new auditor’s reports after the accounting reform recently issued in Spain and the factors that condition the KAMs disclosed by auditors. Using the sample of all Spanish listed companies, our results show that these firms mostly report on two to four KAMs and the majority of these relate to revenue recognition, impairment of goodwill and deferred tax recovery in the 2017 audit reports. Applying a multinomial linear regression, the significant variables that condition the KAMs in our sample are sector, market type, and average word count. This evidence contributes to the literature by emphasizing the importance of risks in financial reporting in extended audit reports.